Senior Software Engineer - On Device Machine Learning

Frostbite; Stockholms kommun; On-site; SEK 661,626 - 945,180; Full time

Benefits offered by this job

Healthcare coverage

Mental well-being support

Retirement savings

Paid time off

Complimentary games

Job summary

Frostbite is seeking a skilled software engineer specialized in C++ to design and maintain robust machine learning solutions. The role involves integrating these solutions into proprietary tools and collaborating with machine learning experts.

Candidates should have 7+ years of experience, a strong grasp of software engineering fundamentals, and be able to contribute enthusiastically to a collaborative environment. Excellent benefits packages are provided to support employee wellness.

Qualifications

• 7+ years of hands-on software engineering experience with C++.
• Good knowledge of GPU programming.
• Experience collaborating with remote teams across different time zones.

Responsibilities

• Design and maintain end-to-end solutions for machine learning models.
• Integrate ML solutions into proprietary tools and environments.
• Collaborate on new models and architectures optimized for performance.

Skills

C++ programming

Multithreading

GPU programming

Debugging and profiling

Software engineering fundamentals

Education

BSc or MSc in Computer Science, Engineering, or Mathematics

Tools

PyTorch

TensorFlow

ONNX format

Job description

Responsibilities

• Design, build, and maintain robust end-to-end solutions for running machine learning models efficiently on a variety of devices.
• Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on‑device performance.
• Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices.
• Write clean, well‑documented, and well‑tested code that integrates smoothly with existing systems.
• Keep up to date with the latest advancements in Deep Learning, Reinforcement Learning, Generative AI, and related fields, through continuous learning and by attending internal and external conferences.
• Be an enthusiastic contributor to Frostbite’s and EA’s ML/AI communities – sharing your knowledge, collaborating with partners, and mentoring teammates along the way.

Qualifications

• 7+ years of hands‑on software engineering experience with C++, including expertise in multithreading and low‑level/near‑hardware optimizations.
• Good knowledge of GPU programming.
• Proficient in debugging, profiling, and optimizing real‑time software.
• Solid understanding and practice of software engineering fundamentals, such as version control, code reviews, documentation, automated testing, coding standards, CI/CD, issue tracking, and Agile.
• BSc or MSc degree in Computer Science, Engineering, Mathematics, or equivalent professional experience.
• Experience collaborating and sharing updates with developers and partners, including remote and asynchronous teams across different time zones.

Nice To Have

• Experience with implementing software tools to optimize code.
• Knowledge of ML frameworks such as PyTorch or TensorFlow.
• Knowledge of the ONNX format.
• Experience building, debugging, and shipping end‑to‑end ML systems in real‑world production environments.

About Electronic Arts

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well‑being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.